A fast fuzzy decision tree for color filtering

Balazs Tusor, Marta Takacs, Annamaria R. Varkonyi-Koczy, Janos T. Toth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Fuzzy decision trees have been gaining popularity in the past two decades. They are the fuzzy extensions of crisp decision trees, introducing fuzzy logic into the nodes of the tree, thus making their generalization capabilities more robust. This paper presents a fuzzy decision tree architecture that is optimized for quick inference, in order to make the classification process as fast as possible. Furthermore, two training algorithms are presented to incrementally train fuzzy decision trees for realtime classification applications.

Original languageEnglish
Title of host publicationWISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479972524
DOIs
Publication statusPublished - Jun 29 2015
Event9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015 - Siena, Italy
Duration: May 15 2015May 17 2015

Publication series

NameWISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings

Other

Other9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015
CountryItaly
CitySiena
Period5/15/155/17/15

Keywords

  • classification
  • color filtering
  • decision trees
  • fuzzy decision trees
  • human skin detection
  • image processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Tusor, B., Takacs, M., Varkonyi-Koczy, A. R., & Toth, J. T. (2015). A fast fuzzy decision tree for color filtering. In WISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings [7139160] (WISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WISP.2015.7139160